Add missing configuration setup in scripts/eval_only.py to properly
support the minimax_chat backend, which was entirely omitted.
Fix the following coverage gaps in eval_only.py:
- Add minimax CLI arguments
- Include the minimax config mappings in _MAP
- Update the backend parsing logic
- Call configure_minimax_chat
The eval-only tool skipped configuring some of the backend types, that
the training did configure. Because of this, the eval is silently
fell back to a local endpoint that wasn't actually configured, and
all evaluations runs failed.
Replicate the backend setup based on the trainer's code, and eval-only
can run with the qwen_chat backends.
Co-authored-by: Qwen-Coder <noreply@qwen.ai>
- Skill optimization framework with training loop analogy
- 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen)
- WebUI for browser-based training control
- Pluggable architecture for extending benchmarks and backends
